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ABOUT ME

I am a senior researcher at Eurecom,  research center at the crossroad of academia and industry. I am working on device centric cooperation for 5G and beyond networks in the group of Prof. David Gesbert.

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I am working on algorithms & analysis of decentralized decision making, using information theoretic tools and Machine Learning. I am especially interested in how ML methods can be/have to be tailored to bring strong improvements to wireless communication problems and, in the reverse directions, how communications theory & algorithms can be used in ML algorithms. I am enthusiastic about solving problems and bridging the gap between theory and practice.

I am very involved in several project on Machine Learning in Communication Systems, in particular a Marie Curie Innovative Training Networks (WINDMILL) actually hiring phd students. I am also organizing a workshop at IEEE ICC 2019 in Shanghai and co-guest editing a JSAC special issue on Machine Learning in Communication Systems.

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  • Profiles

  • CV

  • Contact

2004 - 2006

Lycée Fénelon (Paris)

Mathématical and Physics Preparatory course (MPSI/MP*)

EDUCATION

RESEARCH INTERESTS

Multi-user information theory and high SNR performances in wireless networks (DoF)

Estimation in multi-node scenarios

Machine Learning

2006 - 2009

Telecom Bretagne (Brest)

Engineer Degree

 

2008 - 2010

Technical University Munich (Munich)

Engineer Degrees in Electrical Engineer

2010 - 2013

EURECOM (Sophia-Antipolis)

Doctorate in Electronics and Communications

2006 - 2008

Université de Bretagne Occidental (Brest)

Master 1 in Mathematics

 

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